Estimating urban areas: New insights from very high-resolution human settlement data

Chowdhury, Pranab K. Roy; Bhaduri, Budhendra; McKee, Jacob

doi:10.1016/j.rsase.2018.03.002

Cited by 20 publications

(16 citation statements)

References 38 publications

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“…Our analysis reveals that these uncaptured areas have built-up levels that are much lower than 50 percent. It is worth noting that in related studies, it has been found that GHSL (and Landscan SL, a similar product) outperform other measure of built-up land in detecting more peripheral urban development, while there is general agreement across products in more heavily built-up core urban areas [45]. This suggests that, by any measure, urban people tend to live well beyond the bounds of heavily built-up land (see S2 Text and S1 and S2 Tables for analysis at alternative GHSL thresholds).…”

Section: Discussionmentioning

confidence: 99%

Understanding urbanization: A study of census and satellite-derived urban classes in the United States, 1990-2010

et al. 2018

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Most of future population growth will take place in the world’s cities and towns. Yet, there is no well-established, consistent way to measure either urban land or people. Even census-based urban concepts and measures undergo frequent revision, impeding rigorous comparisons over time and place. This study presents a new spatial approach to derive consistent urban proxies for the US. It compares census-designated urban blocks with proxies for land-based classifications of built-up areas derived from time-series of the Global Human Settlement Layer (GHSL) for 1990–2010. This comparison provides a new way to understand urban structure and its changes: Most land that is more than 50% built-up, and people living on such land, are officially classified as urban. However, 30% of the census-designated urban population and land is located in less built-up areas that can be characterized as mainly suburban and peri-urban in nature. Such insights are important starting points for a new urban research program: creating globally and temporally consistent proxies to guide modelling of urban change.

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Section: Discussionmentioning

confidence: 99%

Understanding urbanization: A study of census and satellite-derived urban classes in the United States, 1990-2010

et al. 2018

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“…In this context, the application of remote sensing and Geographic Information Systems (GISs) are essential tools for the effective detection of intrinsic human impacts on the mangrove [52–55]. These tools can also provide important data on demographic processes [56, 57] and the infrastructure necessary for regional development [58–61]. This interdisciplinary approach is essential for the development of effective measures and strategies to mitigate negative impacts and guarantee the conservation of the mangrove.…”

Section: Introductionmentioning

confidence: 99%

The effect of anthropogenic drivers on spatial patterns of mangrove land use on the Amazon coast

et al. 2019

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Mangroves play an essential ecological role in the maintenance of the coastal zone and are extremely important for the socioeconomics of coastal communities. However, mangrove ecosystems are impacted by a range of anthropogenic pressures, and the loss of this habitat can be attributed primarily to the human occupation of the coastal zone. In the present study, we analyzed the spatial patterns of land use in the mangrove of the Brazilian Amazon coast, and evaluated the anthropogenic drivers of this impact, using a remote sensing approach. We mapped the road network using RapidEye images, and human settlements using global data. The results of these analyses indicate that the Brazilian Amazon coast has a low population density and low rates of anthropogenic impact in most of the coastal microregions investigated, factors that contribute to the maintenance and conservation of the region’s mangrove. The study also revealed that the paved road network is one of the principal drivers of land use in the mangrove, whereas other factors, such as population density, urban centers, and the number of settlements are much less important. While the region has 2024 km of paved highways, unpaved roads (17,496 km) facilitate access to the mangrove, with approximately 90% of anthropogenic impact being recorded within a 3 km radius of these roads. While the network of paved highways is relatively reduced in extension, preventive measures are urgently required to impede any major shift in the current scenario, caused by the expansion of major development programs. The results of the study indicate that biophysical, economic, and political factors may also contribute to the reduction, stability, and development of one of the world’s largest areas of mangrove forest.

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“…Data on settlement locations and boundaries are needed to inform EA delineation in the 'merge' part of the algorithm and are also used to create our refined 100m population density estimates. Recent increased availability of high-resolution satellite imagery and high-power computing resources with adequate image processing algorithm have advanced the development of high-resolution human settlement layers (Vijayaraj et al 2007;Florczyk et al 2016;Roy Chowdhury et al 2018). Examples of recently developed human settlement layers include Global Urban FootPrint (GUF) (Esch et al 2017), Global Human Settlement Layer (GHSL) (Pesaresi et al 2013) and LandScan Settlement Layer (LandScan SL) (Cheriyadat et al 2007).…”

Section: Settlement Boundariesmentioning

confidence: 99%

A Novel Approach to the Automatic Designation of Predefined Census Enumeration Areas and Population Sampling Frames: A Case Study in Somalia

Qader¹,

Lefebvre²,

Ninneman³

et al. 2019

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The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

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Estimating urban areas: New insights from very high-resolution human settlement data

Cited by 20 publications

References 38 publications

Understanding urbanization: A study of census and satellite-derived urban classes in the United States, 1990-2010

Understanding urbanization: A study of census and satellite-derived urban classes in the United States, 1990-2010

The effect of anthropogenic drivers on spatial patterns of mangrove land use on the Amazon coast

A Novel Approach to the Automatic Designation of Predefined Census Enumeration Areas and Population Sampling Frames: A Case Study in Somalia

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